The importance of correcting for signal drift in diffusion MRI
Magnetic Resonance in Medicine2016Vol. 77(1), pp. 285–299
Citations Over TimeTop 1% of 2016 papers
Sjoerd B. Vos, Chantal M. W. Tax, Peter R. Luijten, Sébastien Ourselin, Alexander Leemans, Martijn Froeling
Abstract
By interspersing the non-diffusion-weighted images throughout the session, the signal decrease can be estimated and compensated for before data analysis; minimizing the detrimental effects on subsequent MRI analyses. Magn Reson Med 77:285-299, 2017. © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.
Related Papers
- → MR diffusion kurtosis imaging for neural tissue characterization(2010)355 cited
- → Signal averaging improves signal-to-noise in OCT images: But which approach works best, and when?(2019)78 cited
- → Diffusion kurtosis metrics as biomarkers of microstructural development: A comparative study of a group of children and a group of adults(2016)54 cited
- → Theoretical analysis of phantom rotations in BSD-DTI(2015)9 cited
- → Investigation of a New Weighted Averaging Method to Improve SNR of Electrocochleography Recordings(2015)8 cited